ZipRecruiter

Log In

3

Part Time Remote Python Web Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

... part-time remote opportunity is ideal for technical professionals with hands-on experience in web ... As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision ...

Mindrift

Senior Data Scraping Engineer (Python)

Dallas, TX · Remote

$37/hr

... part-time remote opportunity is ideal for technical professionals with hands-on experience in web ... As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision ...

next page

Showing results 1-20

People also search for

All JobsPart Time Remote Python Web Scraping Jobs

Part Time Remote Python Web Scraping information

See salary details

$44

$57

$64

How much do part time remote python web scraping jobs pay per hour?

As of May 29, 2026, the average hourly pay for part time remote python web scraping in the United States is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $62.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Remote Python Web Scraping professional, and why are they important?

To thrive as a Part Time Remote Python Web Scraping professional, you need strong Python programming skills, experience with web scraping libraries like BeautifulSoup or Scrapy, and a solid understanding of HTML and CSS. Familiarity with tools such as Selenium, APIs, and version control systems (like Git) is typically required, and knowledge of data handling or cloud platforms can be advantageous. Attention to detail, problem-solving ability, and effective written communication are vital soft skills for managing projects independently and clarifying requirements remotely. These skills ensure efficient, accurate data extraction while maintaining professionalism and clear client collaboration in a remote environment.

What are some common challenges faced in a part-time remote Python web scraping role, and how can they be managed?

In a part-time remote Python web scraping role, common challenges include handling dynamic websites that use JavaScript for content loading, managing rate limits or website blocks, and ensuring data accuracy. To address these, developers often use tools like Selenium or Playwright to interact with dynamic content, implement delays and proxy rotation to avoid detection, and write robust data validation checks. Effective communication with team members is also crucial when working remotely to clarify project requirements and coordinate on data formats or delivery schedules.

What does a part time remote Python web scraping job involve?

A part time remote Python web scraping job typically involves using Python programming to extract data from websites while working flexible hours from a remote location. Responsibilities may include writing scripts to collect and process data, handling data storage, and ensuring compliance with legal and ethical web scraping practices. Workers often use libraries like BeautifulSoup, Scrapy, or Selenium to automate data retrieval and parsing. This role is ideal for individuals with strong Python skills who want flexible work arrangements.

What is the difference between Part Time Remote Python Web Scraping vs Part Time Remote Data Analyst?

AspectPart Time Remote Python Web ScrapingPart Time Remote Data Analyst
Required SkillsPython, web scraping, data extractionData analysis, Excel, SQL, Python (optional)
Work EnvironmentRemote, independent projectsRemote, collaborative teams
Industry UsageWeb data collection, market researchBusiness insights, reporting
CertificationsPython programming, web scraping toolsData analysis certifications (e.g., Google Data Analytics)

While both roles often work remotely and require Python skills, Part Time Remote Python Web Scraping focuses on extracting data from websites using Python, whereas Part Time Remote Data Analyst involves interpreting data to generate insights, often using additional tools like Excel and SQL. The roles overlap in technical skills but differ in their primary objectives and deliverables.

More about Part Time Remote Python Web Scraping jobs
What cities are hiring for Part Time Remote Python Web Scraping jobs? Cities with the most Part Time Remote Python Web Scraping job openings:
What are the most commonly searched types of Remote Python Web Scraping jobs? The most popular types of Remote Python Web Scraping jobs are:
What job categories do people searching Part Time Remote Python Web Scraping jobs look for? The top searched job categories for Part Time Remote Python Web Scraping jobs are:
Part Time Remote Python Web Scraping jobs near you
Infographic showing various Part Time Remote Python Web Scraping job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Posted 3 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities:
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply